MO_NorthernSEMO_2021_UTM (ImageServer)

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Service Description: These are Digital Elevation Model (DEM) data as part of the required deliverables for the lidar project. Class 2 (Ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM. Geographic Extent: St. Louis, Holt, Atchinson, Buchanan, Washington, Nodaway, St. Francois, Ste. Genevieve, Clinton, Andrew, Franklin, Jefferson counties Missouri, covering approximately 6465 square miles. Dataset Description: The lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 2.1. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM Zone 15 North, Meters and vertical datum of NAVD88 (GEOID18), Meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 7867 individual 1500 m x 1500 m tiles clipped to the DPA, as tiled Intensity Images, as tiled bare-earth DEMs, as tiled all-return MSHRs; all tiled to the same 1500 m x 1500 m schema. Ground Conditions: Lidar was collected in late 2021, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc., established a total of 68 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 207 independent accuracy check points, 121 in Bare Earth and Urban landcovers (121 NVA points), 86 in Tall Grass and Brushland/Low Trees categories (86 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 1 m cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, hydro-flattened DEMs, and all-return MSHRs as necessary. Complete metadata available at : https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/MO_Northern_SEMO_2021_D21/

Name: MO_NorthernSEMO_2021_UTM

Description: These are Digital Elevation Model (DEM) data as part of the required deliverables for the lidar project. Class 2 (Ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM. Geographic Extent: St. Louis, Holt, Atchinson, Buchanan, Washington, Nodaway, St. Francois, Ste. Genevieve, Clinton, Andrew, Franklin, Jefferson counties Missouri, covering approximately 6465 square miles. Dataset Description: The lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 2.1. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM Zone 15 North, Meters and vertical datum of NAVD88 (GEOID18), Meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 7867 individual 1500 m x 1500 m tiles clipped to the DPA, as tiled Intensity Images, as tiled bare-earth DEMs, as tiled all-return MSHRs; all tiled to the same 1500 m x 1500 m schema. Ground Conditions: Lidar was collected in late 2021, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc., established a total of 68 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 207 independent accuracy check points, 121 in Bare Earth and Urban landcovers (121 NVA points), 86 in Tall Grass and Brushland/Low Trees categories (86 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 1 m cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, hydro-flattened DEMs, and all-return MSHRs as necessary. Complete metadata available at : https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/MO_Northern_SEMO_2021_D21/

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

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Band Count: 1

Pixel Type: F32

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Mensuration Capabilities: None

Inspection Capabilities:

Has Histograms: true

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Has Multi Dimensions : false

Rendering Rule:

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Max Scale: 0

Resampling: false

Copyright Text:

Service Data Type: esriImageServiceDataTypeGeneric

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Max Values: 496.6690673828125

Mean Values: 249.43301909081168

Standard Deviation Values: 53.299907109429824

Object ID Field: OBJECTID

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Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

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Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos:

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Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources: Info Histograms Statistics Key Properties Legend Raster Function Infos

Supported Operations: Export Image Query Identify Download Rasters Get Image Url Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query GPS Info Find Images Image to Map Map to Image Measure from Image Image to Map Multiray Query Boundary Compute Pixel Location Compute Angles Validate Project